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논문 기본 정보

저자정보
(Stony Brook) (Stony Brook University - State University of New York Stony Brook) (아주대학교) (Stony Brook)
저널정보
대한전자공학회 JUCT : Journal of Ubiquitous Convergence Technology Journal of Ubiquitous Convergence Technology Vol.3 No.1
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    초록·키워드

    In this paper, we present camera placement approaches which consider both object occlusion and object resolution for multi-camera surveillance systems. The approaches aim to minimize occlusion and to obtain clear objects for effective object detection and tracking. To determine camera placement, we utilized various methods based on the K-means and the Principal Component Analysis (PCA) using object positions. The proposed approaches have robustness against occlusion and incremental detection capability of moving objects. To evaluate approaches, we have acquired object positions from cameras and compared three methods.

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      UCI(KEPA) : I410-ECN-0101-2009-569-018636936